mirror of
https://github.com/wassname/Clover-Edition.git
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83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
import os
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from story.utils import *
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from google.cloud import storage
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import json
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from story.story_manager import *
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from generator.web.web_generator import *
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from generator.ctrl.ctrl_generator import *
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import tensorflow as tf
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import textwrap
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CRED_FILE = "./AI-Adventure-2bb65e3a4e2f.json"
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prompt = "You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see "
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# Set the key
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def console_print(str, pycharm=False):
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if pycharm:
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LINE_WIDTH=80
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print((textwrap.fill(str, LINE_WIDTH)))
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else:
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print(str)
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def play_unconstrained():
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generator = CTRLGenerator()
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#generator = WebGenerator(CRED_FILE)
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story_manager = UnconstrainedStoryManager(generator, prompt)
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console_print(str(story_manager.story))
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while (True):
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action = input("> ")
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action = "You " + action
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result = story_manager.act(action)
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console_print(action + result)
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def play_constrained():
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generator = WebGenerator(CRED_FILE)
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story_manager = ConstrainedStoryManager(generator, prompt)
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console_print(str(story_manager.story))
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possible_actions = story_manager.get_possible_actions()
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while (True):
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console_print("\nOptions:")
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for i, action in enumerate(possible_actions):
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console_print(str(i) + ") " + action)
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result = None
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while(result == None):
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action_choice = input("Which action do you choose? ")
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print("\n")
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result, possible_actions = story_manager.act(action_choice)
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console_print(result)
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def play_cached():
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generator = WebGenerator(CRED_FILE)
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story_manager = CachedStoryManager(generator, 0, 0, CRED_FILE)
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console_print(str(story_manager.story))
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possible_actions = story_manager.get_possible_actions()
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while (True):
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console_print("\n\nOptions:")
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for i, action in enumerate(possible_actions):
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console_print(str(i) + ") " + action)
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result = None
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while(result == None):
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action_choice = input("Which action do you choose? ")
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print("\n")
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result, possible_actions = story_manager.act(action_choice)
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console_print(result)
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if __name__ == '__main__':
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play_unconstrained()
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